Summary
Roy Zhang is a software engineering advisor and AI-focused engineer with 9 years of experience building scalable systems, automation, and AI-driven products across enterprise and research settings. He combines deep C++ and Python expertise with practical experience in ML/NLP, LLMs, reinforcement learning, and simulation-driven dataset generation from roles at Google, IQ Inc., and financial institutions. Roy has led cross-functional integrations—coordinating engineers, product owners, QA, and operators—to deliver production systems and has a track record of architecting CI/CD and RPA solutions that bridge legacy tools with modern workflows. His background in statistics and labor economics, plus an MS in Computer Science, gives him a rare mix of quantitative modeling, systems design, and process-oriented program leadership. Notably, he leverages simulation not just for analysis but as synthetic training data for RL systems, turning theoretical models into actionable AI deployments.
9 years of coding experience
3 years of employment as a software developer
Bachelor of Science - BS Statistics, Bachelor of Science - BS Statistics at Nanjing University
Master of Arts - MA Labor Economics, Master of Arts - MA Labor Economics at Renmin University of China
Master of Science - MS Computer Science, Master of Science - MS Computer Science at Old Dominion University
English, Chinese